Who Cited It

RCV1: A New Benchmark Collection for Text Categorization Research

2004 · Goldsmiths (University of London) · 2,604 citations · 13 from inside this corpus

David Lewis, Yiming Yang, Tony Rose low, Fan Li

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

RCV1: A New Benchmark Collection for Text Categorization Research (2004)RCV1: A New Benchmark Collect…An algorithm for suffix stripping (1980)An algorithm for suffix strip…Text categorization with Support Vector Machines: Learning with many relevant features (1998)Text categorization with Supp…Machine learning in automated text categorization (2002)Machine learning in automated…A Comparative Study on Feature Selection in Text Categorization (1997)A Comparative Study on Featur…Transductive Inference for Text Classification using Support Vector Machines (1999)Transductive Inference for Te…A re-examination of text categorization methods (1999)A re-examination of text cate…The SMART Retrieval System—Experiments in Automatic Document Processing (1971)The SMART Retrieval System—Ex…An Evaluation of Statistical Approaches to Text Categorization (1999)An Evaluation of Statistical …Adaptive Subgradient Methods for Online Learning and Stochastic Optimization (2010)Adaptive Subgradient Methods …The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy i… (2020)The advantages of the Matthew…Large-Scale Machine Learning with Stochastic Gradient Descent (2010)Large-Scale Machine Learning …Natural Language Processing (almost) from Scratch (2011)Natural Language Processing (…Natural Language Processing (almost) from Scratch (2011)Natural Language Processing (…Character-level Convolutional Networks for Text Classification (2015)Character-level Convolutional…Multi-Label Classification (2007)Multi-Label ClassificationTraining linear SVMs in linear time (2006)Training linear SVMs in linea…Stochastic Gradient Descent Tricks (2012)Stochastic Gradient Descent T…Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey (2018)Latent Dirichlet allocation (…Classification in the Presence of Label Noise: A Survey (2014)Classification in the Presenc…Essentials of the self-organizing map (2012)Essentials of the self-organi…Mining Multi-label Data (2009)Mining Multi-label Data
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What this paper cites, inside the corpus

PaperYearCited
An algorithm for suffix stripping19808,157
Text categorization with Support Vector Machines: Learning with many relevant features19988,044
Machine learning in automated text categorization20027,945
A Comparative Study on Feature Selection in Text Categorization19974,770
Transductive Inference for Text Classification using Support Vector Machines19992,721
A re-examination of text categorization methods19992,664
The SMART Retrieval System—Experiments in Automatic Document Processing19712,276
An Evaluation of Statistical Approaches to Text Categorization19991,963

What cites it, inside the corpus

PaperYearCited
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization20108,621
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy i…20206,132
Large-Scale Machine Learning with Stochastic Gradient Descent20105,695
Natural Language Processing (almost) from Scratch20115,174
Natural Language Processing (almost) from Scratch20113,991
Character-level Convolutional Networks for Text Classification20153,280
Multi-Label Classification20072,518
Training linear SVMs in linear time20061,961
Stochastic Gradient Descent Tricks20121,944
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey20181,924
Classification in the Presence of Label Noise: A Survey20141,777
Essentials of the self-organizing map20121,617
Mining Multi-label Data20091,410

Links

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Topics

Text and Document Classification TechnologiesComputer Science
Advanced Text Analysis TechniquesComputer Science
Topic ModelingComputer Science

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complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports4 author record(s) attached.
  • supports35 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:49+00:00.

sha256 a2172c1bbe00c44b…